Effect of Bamboo Vinegar on Control of Nitrogen Loss in Vegetable Waste and Manure Composting
Bibliographic record
Abstract
The large-scale generation of vegetable waste in China has become a significant environmental concern. The traditional method of composting results in high nitrogen losses during the process and in the final product. To address this issue and shorten the composting period, this study investigated the effects of bamboo vinegar (BV) and a microbial inoculant (MI) on the physical and chemical properties of the compost and bacterial community composition during the composting process. The results revealed that the addition of BV and BV + MI decreased the time required to reach thermophilic temperatures and conserved nitrogen in the final product. Furthermore, it was found that the dominant nitrifying and denitrifying bacteria, as identified through 16S rDNA analysis, belonged to Nitrosomonas and Proteobacteria, respectively. BV and BV + MI reduced NH3 and N2O emissions, which suggested that BV is a beneficial composting agent that preserves nitrogen during the composting process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".